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- Tasks: Lead quantitative trading strategies and develop advanced models for market making.
- Company: Join Goldman Sachs, a global leader in investment banking and finance.
- Benefits: Enjoy competitive pay, wellness programs, and opportunities for personal growth.
- Other info: Diverse and inclusive workplace with excellent career advancement opportunities.
- Why this job: Make a real impact using cutting-edge technology in a dynamic trading environment.
- Qualifications: Strong background in quantitative fields and programming skills in Python, C++, or Java.
The predicted salary is between 60000 - 80000 £ per year.
We are a team of FICC Quantitative Researchers who work to transform the Fixed Income, Currencies, and Commodities (FICC) business through quantitative trading, automating the key decisions taken every day. Our team has a wide remit across product types such as Interest Rates (IR), Foreign Exchange (FX), Credit, and Commodities, with strategies including market making, automatic quoting, central risk books, systematic trading, and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models, including advanced machine learning and AI, to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the firm.
Role Responsibilities:
- Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across FICC products.
- Use advanced statistical analysis and quantitative techniques such as neural networks, machine learning, and factor models to build models that drive systematic alpha strategies which make real-time trading and risk management decisions.
- Implement frameworks to manage risk centrally and build optimal portfolios across FICC asset classes.
- Build model calibration frameworks for our advanced statistical and AI models, operating at scale with large quantities of time series data, ensuring accuracy and compliance.
- Drive our market making strategy development using a range of technologies, and collaborate closely with Quant Developers and core engineering teams to enhance core analytics infrastructure and trading tools.
- Develop and enhance critical pricing, trading, and risk tools, and create new frameworks leveraging trade and franchise data to optimize and systematize market making and hedging strategies.
Basic Qualifications:
- Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science.
- Strong programming skills in an object-oriented or functional paradigm such as C++, Java, or Python.
- Self-starter with strong self-management skills, ability to manage multiple priorities and deliver in a high-pressure environment.
- Excellent written and verbal communication skills, with the ability to articulate complex quantitative concepts to both technical and non-technical audiences.
GBM Public, FICC SMM Quantitative Researcher, ASO/VP, London employer: Goldman Sachs
Contact Detail:
Goldman Sachs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GBM Public, FICC SMM Quantitative Researcher, ASO/VP, London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Goldman Sachs through LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the technical interview! Brush up on your programming skills in Python or C++. Practice coding challenges and be ready to explain your thought process clearly.
✨Tip Number 3
Showcase your projects! If you've worked on any quantitative models or trading strategies, be sure to discuss them during interviews. Real-world examples can set you apart from other candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Goldman Sachs.
We think you need these skills to ace GBM Public, FICC SMM Quantitative Researcher, ASO/VP, London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your academic achievements and relevant skills in your application. We want to see how your background in quantitative fields like physics or computer science can contribute to our team.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific role of FICC Quantitative Researcher. We love seeing candidates who understand what we do and how they fit into our mission.
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language to explain complex concepts, as we need to know you can communicate effectively with both technical and non-technical folks on the trading floor.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Goldman Sachs
✨Know Your Quantitative Stuff
Make sure you brush up on your knowledge of statistical analysis techniques and machine learning. Be ready to discuss how you've applied these in real-world scenarios, especially in FICC contexts. This will show that you can not only talk the talk but also walk the walk.
✨Show Off Your Coding Skills
Since strong programming skills are a must, be prepared to demonstrate your proficiency in languages like Python or C++. You might even want to practice coding problems related to quantitative finance to showcase your problem-solving abilities during the interview.
✨Communicate Clearly
You’ll need to articulate complex concepts to both technical and non-technical folks. Practice explaining your past projects or models in simple terms. This will help you stand out as someone who can bridge the gap between quantitative research and practical application.
✨Be a Self-Starter
Highlight your ability to manage multiple priorities and thrive under pressure. Share examples from your past where you took initiative and delivered results. This will demonstrate that you’re not just a team player but also someone who can lead when needed.